This paper presents BAR-Analytics, a web-based, open-source platform designed to analyze news dissemination across geographical, economic, political, and cultural boundaries. Using the Russian-Ukrainian and Israeli-Palestinian conflicts as case studies, the platform integrates four analytical methods: propagation analysis, trend analysis, sentiment analysis, and temporal topic modeling. Over 350,000 articles were collected and analyzed, with a focus on economic disparities and geographical influences using metadata enrichment. We evaluate the case studies using coherence, sentiment polarity, topic frequency, and trend shifts as key metrics. Our results show distinct patterns in news coverage: the Israeli-Palestinian conflict tends to have more negative sentiment with a focus on human rights, while the Russia-Ukraine conflict is more positive, emphasizing election interference. These findings highlight the influence of political, economic, and regional factors in shaping media narratives across different conflicts.

翻译：本文介绍了BAR-Analytics，一个基于Web的开源平台，旨在分析新闻跨越地理、经济、政治和文化边界的传播情况。以俄乌冲突和巴以冲突为案例研究，该平台整合了四种分析方法：传播分析、趋势分析、情感分析和时序主题建模。我们收集并分析了超过35万篇文章，重点利用元数据增强技术考察了经济差异和地理影响。我们使用主题一致性、情感极性、主题频率和趋势变化作为关键指标来评估这些案例研究。结果显示新闻报道存在明显差异：巴以冲突的情感倾向更为负面，关注点集中在人权问题上；而俄乌冲突则相对正面，更强调选举干预。这些发现凸显了政治、经济和区域因素在塑造不同冲突的媒体叙事中的影响力。